Python for Finance: Analyze Big Financial Data

Figure 14-4. Screenshot of pandas/matplotlib-based plot with interactive elements

Real-Time Plots

The previous subsection shows how easy it is to generate interactive, web-based plots with

Bokeh. However, Bokeh shines when it comes to real-time visualization of, for example,

high-frequency financial data. Therefore, this subsection contains examples for two

different real-time APIs, one for FX (foreign exchange) data in JSON (JavaScript Object

Notation) format and one for intraday tick data for stock prices delivered in CSV text file